Endmember-Assisted Camera Response Function Learning, Toward Improving Hyperspectral Image Super-Resolution Performance-Reference-Cited by-同舟云学术

Endmember-Assisted Camera Response Function Learning, Toward Improving Hyperspectral Image Super-Resolution Performance

Published:2022 Issue: Volume:60 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhao Jiangsan¹^ORCID,Qu Ying²^ORCID,Ninomiya Seishi¹,Guo Wei¹^ORCID

Affiliation:

1. Laboratory of Field Phenomics, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Tokyo, Japan

2. Department of Electrical Engineering and Computer Science, Advanced Imaging and Collaborative Information Processing Group, The University of Tennessee, Knoxville, TN, USA

Funder

Japan Science and Technology Agency (JST) AIP Acceleration Research “Studies of CPS platform to raise big-datadriven AI agriculture”

Strategic International Collaborative Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09794687.pdf?arnumber=9794687

Reference71 articles.

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